coralogix-datasets
Dataset discovery and source-selection guidance for DataPrime system and user-defined datasets. Load when the user asks what datasets exist, how to use `list_datasets`, how to query `system/...` or `d
SKILL.mdskills/coralogix-datasets/SKILL.md
GitHubDatasets Skill - Discovering system and user-defined datasets
Dataset categories
Use list_datasets to discover available datasets:
- System datasets:
source system/<dataset> - User-defined datasets:
source default/<dataset>
Core workflow
- Call
list_datasetsfirst. - Use the exact
source ...path returned bylist_datasets. Never guess a dataset name. - For any
system/...dataset, always callget_system_dataset_infoto retrieve dataset information and schema guidance before querying it. - Load or use
coralogix-dataprimeskill to build the actual query correctly. - If the user's question should be answered from a specific dataset, call
query_dataprimewith that dataset in thesource ...clause.
When to use get_system_dataset_info
Use get_system_dataset_info only for system/... datasets, and always use it after discovery before querying a system dataset.
It is the required follow-up step for system datasets because it is intended to provide:
- what a specific system dataset is for
- whether a specific system dataset should be queried
- schema-oriented information for a specific system dataset
Do not use it for default/... datasets. In this scope, there is no matching detailed-info tool for user-defined datasets yet.
Important notes
search_for_fieldsis only for logs and spans, not arbitrary datasets.- For a known system dataset with dedicated business logic or schema guidance, load the relevant domain skill as well.
- For fleet case analytics on
system/labs.cases.state_updates, also loadcoralogix-case-analytics.